knowledge-computing
/

geolm-base-toponym-recognition

Token Classification

toponym detection

geospatial understanding

Model card Files Files and versions

zekun-li commited on Jul 24, 2023

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73d9f92

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1 Parent(s): a5502e4

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@@ -83,7 +83,7 @@ model = AutoModelForTokenClassification.from_pretrained(model_name)
 input_sentence = "Minneapolis, officially the City of Minneapolis, is a city in the state of Minnesota and the county seat of Hennepin County."
 # Tokenize input sentence
-tokens = tokenizer.encode(input_sentence, truncation=True, padding=True, return_tensors="pt")
 # Pass tokens through the model
 outputs = model(tokens)

 input_sentence = "Minneapolis, officially the City of Minneapolis, is a city in the state of Minnesota and the county seat of Hennepin County."
 # Tokenize input sentence
+tokens = tokenizer.encode(input_sentence, return_tensors="pt")
 # Pass tokens through the model
 outputs = model(tokens)